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Showing 68841 to 68850 of 95995 articles
Predicting Hospital Readmission via Cost-Sensitive Deep Learning.
IEEE/ACM transactions on computational biology and bioinformatics
Apr 16, 2018
With increased use of electronic medical records (EMRs), data mining on medical data has great potential to improve the quality of hospital treatment and increase the survival rate of patients. Early readmission prediction enables early intervention,...
Identifying Falls Risk Screenings Not Documented with Administrative Codes Using Natural Language Processing.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Apr 16, 2018
Quality reporting that relies on coded administrative data alone may not completely and accurately depict providers' performance. To assess this concern with a test case, we developed and evaluated a natural language processing (NLP) approach to iden...
Contralateral Breast Cancer Event Detection Using Nature Language Processing.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Apr 16, 2018
To facilitate the identification of contralateral breast cancer events for large cohort study, we proposed and implemented a new method based on features extracted from narrative text in progress notes and features from numbers of pathology reports f...
Predicting Changes in Pediatric Medical Complexity using Large Longitudinal Health Records.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Apr 16, 2018
Medically complex patients consume a disproportionate amount of care resources in hospitals but still often end up with sub-optimal clinical outcomes. Predicting dynamics of complexity in such patients can potentially help improve the quality of care...
Learning Doctors' Medicine Prescription Pattern for Chronic Disease Treatment by Mining Electronic Health Records: A Multi-Task Learning Approach.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Apr 16, 2018
Increasing learning ability from massive medical data and building learning methods robust to data quality issues are key factors toward building data-driven clinical decision support systems for medicine prescription decision support. Here, we attem...
Towards precision informatics of pharmacovigilance: OAE-CTCAE mapping and OAE-based representation and analysis of adverse events in patients treated with cancer drugs.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Apr 16, 2018
A critical issue in the usage of cancer drugs is its association with various adverse events (AEs) in some, but not all, patients. The National Cancer Institute (NCI) Common Terminology Criteria for Adverse Events (CTCAE) is a controlled terminology ...
Drug repositioning for prostate cancer: using a data-driven approach to gain new insights.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Apr 16, 2018
UNLABELLED: Prostate cancer (PC) is the most common cancer and the third leading cause of cancer death in men worldwide. Despite its high incidence and mortality, the likelihood of a cure is low for late-stages of PC. There is an unmet need for more ...
ProvCaRe Semantic Provenance Knowledgebase: Evaluating Scientific Reproducibility of Research Studies.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Apr 16, 2018
Scientific reproducibility is critical for biomedical research as it enables us to advance science by building on previous results, helps ensure the success of increasingly expensive drug trials, and allows funding agencies to make informed decisions...
A Multi-Task Framework for Monitoring Health Conditions via Attention-based Recurrent Neural Networks.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Apr 16, 2018
Monitoring the future health status of patients from the historical Electronic Health Record (EHR) is a core research topic in predictive healthcare. The most important challenges are to model the temporality of sequential EHR data and to interpret t...
Utilizing Smartphone-Based Machine Learning in Medical Monitor Data Collection: Seven Segment Digit Recognition.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Apr 16, 2018
Biometric measurements captured from medical devices, such as blood pressure gauges, glucose monitors, and weighing scales, are essential to tracking a patient's health. Trends in these measurements can accurately track diabetes, cardiovascular issue...
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